TWI554969B - Scalable system and method for medical information collection - Google Patents

Description

Expandable medical data collection system and method thereof

The present invention relates to a data collection system and method thereof, and more particularly to a scalable medical data collection system and method therefor.

In the early days of medical research, doctors or medical-related researchers conducted a study on a single disease, and all the relevant data of the patient with the single disease was stored in a computer for data analysis. Later, after the implementation of the health insurance system, a large amount of disease data was stored in the health insurance database. Therefore, if the data in the database can be effectively used for research and analysis, it will be for epidemiology, health care, Disease research and health policy assessments are of great help.

Since the health insurance database brings together all the valuable medical information of the Chinese people and can be processed directly in the computer, the health insurance bureau or the National Institutes of Health can provide the information of the database to the academic community before the privacy of the people is protected. Related research. However, in Taiwan, the correctness of the existing disease data in the health insurance database has not been effectively verified, and some patients have already been diagnosed and treated in other hospitals before admission, which affects the interpretation of their medical records, so there are Scholars object to the use of the health insurance declaration database to do related research. In the data used by the medical research institute, if the data of the first diagnosis and the first treatment can be screened, It is the initial data for research and the opportunity to get the right results.

The current Hospital Information System design of major hospitals is mainly designed for health insurance declarations, so the results of outpatient, emergency and hospitalized reports (such as medical imaging and reports, blood tests, outpatient medication, discharge sickness) , outpatient medical records, etc.), all log-type databases. The development of electronic medical records today is based on the establishment of various vocabulary code tables and exchange of leaflets. Therefore, the medical database and how to convert it into a medical research data database with medical vocabulary code consistency and field alignment to meet the needs of large-scale and highly variable data input is a key technology that is urgently needed for development. Current technologies are difficult to meet the need to handle highly variable medical vocabulary input and conversion to a clinical research data repository.

ICD-9-CM (The International Classification of Diseases, 9th Revision, Clinical Modification) is a standard diagnostic code developed by the World Health Organization for epidemiological, health management and clinical management purposes. Used by countries around the world. At present, China still uses the ICD-9-CM standard diagnostic code to write medical records and conduct medical records management. Therefore, there is an urgent need in the art to provide a medical data registration platform, which can screen the first diagnosis and treatment data from the clinical clinic medical record registration of the medical center or the existing ICD-9-CM standard database, and It is stored in another clinical research data database in accordance with the consistency and field of medical vocabulary code for academic research.

In view of the above, the present invention provides a scalable medical data collection system and method thereof, which are provided by setting various international standard vocabulary code category information (for example, ICD-9, ICD-10, ICD-O3T). , ICD-O3M, etc.) in the data coding classification table, and combined with the data vocabulary control table, the data interpretation reference table, the logic control data table to control the data Input interface and quality. According to the different diagnostic codes of the medical data, the instructions and their corresponding parameter data are set, and the patient medical data is classified and stored in the database. Therefore, through the above-mentioned setting method, the researcher can store the medical data into a consistent and field-oriented clinical research data database according to the medical factor (variable medical vocabulary) of the research to be studied.

The invention provides a scalable medical data collection system, which comprises a medical data classification module, a medical data writing module, a database reading and analyzing module and a medical data writing module. The medical data classification module is based on four knowledge forms: a data coding classification table, a data vocabulary control table, a data interpretation reference table, and a logical control data table, and is suitable for medical medical classification for at least one medical data. The data coding classification table has vocabulary code category information of various international medical disease standards, the data vocabulary control table has a variability of medical vocabulary classification, the data interpretation reference table has information for interpreting medical vocabulary, and the logical control data table specifies vocabulary and vocabulary Master-slave relationship. The medical data writing module is adapted to write at least one medical data into a database according to the data in the medical data classification module. The database reading analysis module has a data encoding classification table, a data vocabulary control table, a data interpretation reference table and a logic control data table, and the database reading analysis module is adapted to classify the data in the database. The medical data writing module reads the classified data of the analysis module according to the database, and outputs at least one medical data required from the database to the one-purpose data.

In a specific embodiment of the present invention, the medical information classification module further includes a specific factor classification table, and has specific factor information of each disease.

In another embodiment of the present invention, the scalable medical data collection system is applicable to a network communication system, which may be an internet, a corporate network, or an enterprise. network.

In another embodiment of the present invention, the medical data writing module further includes a data connection module that can connect at least one external data of the medical data to the database.

In a specific embodiment of the present invention, the above-mentioned destination material is a markup language file, wherein the destination material may be a full markup language technology (for example, XML) or a non-complete markup language technology (for example, JSON). ) file. In another embodiment of the invention, the object of interest is a document conforming to the CDA (Clinical Document Architecture) specification.

One embodiment of the scalable medical data collection system of the present invention is in a particular field of application for collecting cancer data. A scalable cancer data collection system includes a cancer data judgment module and a scalable medical data collection system. The cancer data judgment module can determine whether the diagnostic code of at least one medical data is a cancer diagnosis code, and if it is determined to be a cancer medical data, it can be stored in a cancer database using a scalable medical data collection system.

In order to effectively classify and manage medical materials, the present invention further provides a medical data collection method, which comprises a medical data classification program, a medical data writing program, a database reading analysis program, and a medical data writing program. The medical data classification program classifies at least one medical data through a data coding classification table, a data vocabulary control table, a data interpretation reference table, and a logical control data table. The data coding classification table is lexical code category information having various international medical disease standards. The data vocabulary control table has a variability of medical vocabulary classification, the data interpretation reference table has information for interpreting medical vocabulary, and the logical control data table specifies a master-slave relationship between vocabulary and vocabulary. Medical data writing procedure suitable for classifying at least one medical data according to medical data The program is written to a database. The database reading analysis program has a data encoding classification table, a data vocabulary control table, a data interpretation reference table and a logic control data table, and the database reading analysis program is suitable for classifying the data in the database. The medical data writing program outputs the at least one medical data required from the database to the one-purpose data according to the classified data of the analytical program.

The present invention further provides a cancer data collection method for use in a scalable cancer data collection system, the method comprising a cancer data determination program and the above medical data collection method, wherein the cancer data determination program determines at least one medical treatment Whether the diagnostic code of the data is a cancer diagnosis code.

Without further elaboration, it is believed that those of ordinary skill in the art of Therefore, it is to be understood that the following description is for illustrative purposes only and is not intended to limit the disclosure.

The above and other objects, features and advantages of the present invention will become more <RTIgt;

1‧‧‧Scalable medical data collection system

10‧‧‧ Medical Information Classification Module

11‧‧‧ At least one medical information

12‧‧‧Data Code Classification Table

13‧‧‧Data vocabulary control table

14‧‧‧Data interpretation reference table

15‧‧‧Logic Control Data Sheet

16‧‧‧ Cancer Data Judgment Module

20‧‧‧ medical data writing module

30‧‧‧Database Read Analysis Module

40‧‧‧ Medical data writing module

50‧‧‧Database

60‧‧‧Information

70‧‧‧ medical data collection module

80‧‧‧ Cancer Database

90‧‧‧ medical data reading module

100‧‧‧Scalable cancer data collection system

110‧‧ Medical data classification procedures

120‧‧ Medical data writing procedures

130‧‧‧Database reading analysis program

140‧‧‧ Medical information writing procedures

170‧‧ Medical data collection procedures

180‧‧‧ Cancer data judgment procedure

190‧‧ Medical data reading program

200‧‧ Medical data collection methods

300‧‧‧Methods for collecting cancer data

1 is a schematic diagram of the basic architecture of a scalable medical data collection system in accordance with an embodiment of the present invention.

2 is a schematic diagram of a medical data collection module in accordance with an embodiment of the present invention.

Figure 3 is a schematic illustration of a scalable cancer data collection system in accordance with an embodiment of the present invention.

Figure 4 is a scalable cancer according to an embodiment of the present invention Flow chart of the data collection system.

Figure 5 is a data encoding classification table in accordance with an embodiment of the present invention.

Figure 6 is a data encoding classification table of another embodiment of the present invention.

Figure 7 is a data vocabulary control table in accordance with an embodiment of the present invention.

Figure 8 is a data vocabulary control table of another embodiment of the present invention.

Figure 9 is a data interpretation reference table of one embodiment of the present invention.

Figure 10 is a logic control data sheet of another embodiment of the present invention.

Figure 11 is a diagram of a data vocabulary written into a cancer database in accordance with one embodiment of the present invention.

Figure 12 is a schematic diagram of a medical data reading module in accordance with an embodiment of the present invention.

Figure 13 is a specific embodiment of a medical data collection method according to the present invention.

Figure 14 is a specific embodiment of a medical data collection procedure in accordance with the present invention.

Fig. 15 is a view showing a specific embodiment of the medical data reading program according to the present invention.

Figure 16 is a specific embodiment of a method of collecting cancer data according to the present invention.

All technical and scientific terms used herein have the meaning as commonly understood by one of ordinary skill in the art to which the invention pertains, unless otherwise indicated.

The term "a" as used herein, unless otherwise specified, refers to the quantity of at least one (one or more).

1 and 2 are respectively a schematic diagram of a basic structure of a medical data collection system with extensibility and a medical data collection module according to an embodiment of the present invention. Figure. Please refer to FIG. 1 and FIG. 2 . The extensible medical data collection system 1 of the present invention comprises: a medical data classification module 10 , a medical data writing module 20 , a database reading and analyzing module 30 , and medical treatment . The data is written out of the module 40. The medical data classification module 10 suitable for medical professional classification for at least one medical data 11 has a data encoding classification table 12, a data vocabulary control table 13, a data interpretation reference table 14, and a logical control data table 15. The data coding classification table 12 is vocabulary code category information having various international medical disease standards, the data vocabulary control table 13 has a variability of medical vocabulary classification, the data interpretation reference table 14 has information for interpreting medical vocabulary, and the logical control data table 15 specifies vocabulary. The master-slave relationship with the vocabulary. The medical data writing module 20 is adapted to write at least one medical data 11 into a database 50 according to the data in the medical data classification module 10. The medical data collection module 70 includes a medical data classification module 10 and a medical data writing module 20.

In a specific embodiment of the present invention, the medical data classification module 10 may further include a specific factor classification table. The specific factor classification table has information on specific factors of various diseases, so as to provide the medical data classification module 10 to classify the data for at least one medical data 11.

In the scalable medical data collection system 1 of the present invention, the vocabulary code category information of various international medical disease standards can be built in the data coding classification table 12, including but not limited to ICD-9, ICD-9-CM, ICD-10, ICD-O3T, ICD-O3M, LONIC, SNOMED, etc. The data encoding classification table 12 can control the data input interface and quality in conjunction with the data vocabulary control table 13, the data interpretation reference table 14, and the logical control data table 15. The patient's medical data 11 is stored in the database 50 according to the different diagnostic codes of each medical data 11, the setting instructions and their corresponding parameter data. Through the above method, the researcher can store at least one medical data 11 as consistency according to the medical factor (variable medical vocabulary) he wants to study. Fields of clinical research data in the database.

The establishment of a medical clinical database can provide the necessary data for analysis to understand the relationship between two or more variables, such as whether it is relevant, related direction or intensity. According to an embodiment of the present invention, a mathematical model may be established between two or more variables, and the representation of the dependent variable (Y) corresponding to the independent variable may be predicted according to the independent variable (X), for example, in a database. Select the appropriate data for statistical analysis. Regression analysis is a method of data analysis. This study mainly uses the principle of regression analysis to set an unknown parameter β, which can be a scalar or vector, and associates Y with a function of X and β (Y). f(X, β)).

Referring to FIG. 2 again, in one embodiment of the present invention, the scalable medical data collection system 1 collects medical materials in five stages: (1) First, vocabulary according to various international medical disease standards. The library establishes a data coding classification table 12; (2) further establishes a variability medical vocabulary classification in the data vocabulary control table 13, for example, for a numerical type of a disease, a numerical unit, a numerical value, a numerical value, a reference value, and an important data. Degree, category control, and data interpretation refer to the table; (3) simultaneously interpret the medical vocabulary data in the data interpretation reference table 14; (4) then specify the master-slave relationship between the vocabulary and the vocabulary through the logical control data table 15 (5) Finally, according to the parameter data, the instruction and its corresponding medical vocabulary are set. The instructions include query, update, pre-stored program, selection and recursion. The parameter data is the parameters required to execute the instruction, and the medical data is written into the database 50 according to the classification information of different patients and diseases.

In a preferred embodiment of the present invention, the scalable medical data collection system 1 can further be implemented as a scalable cancer data collection system 100. The scalable cancer data collection system 100 includes a The cancer data judging module 16 and the extensible medical data collecting system 1. Figure 3 is a scalable embodiment of an embodiment of the present invention A schematic diagram of a cancer data collection system, and FIG. 4 is a flow chart of a scalable cancer data collection system according to an embodiment of the present invention. Referring to Figures 3 and 4, in this embodiment, the hospital A patient's medical data is added via the outpatient, emergency, inpatient or medical data system database. The scalable cancer data collection system 100 of the present invention first determines the medical treatment by the cancer data determination module 16. Whether the diagnostic code of the data 11 is cancer or not, if the diagnostic code belongs to the cancer code, the cancer data judging module 16 continues to the cancer database 80 for comparison, and compares whether the medical data has been stored in the cancer database 80. 11. After comparison, if the medical data of the cancer patient 11 is brand new, the scalable medical data collection system 1 collects the medical data according to the above five stages. After the data collection is completed, the medical treatment is completed. The data writing module 20 can store the brand new patient medical data 11 into the cancer database 80.

The program of the extensible medical data collection system 1 of the present invention is fully automated to prepare the medical factors for which the research is to be collected. Some factors must undergo one conversion of the function to get another factor, while others must be converted by multiple functions of the factor and another factor to get the required factor. In the scalable cancer data collection system 100 of the present invention, since the cancer research data must also include the location and size of the tumor (ICD-O3T and ICD-O3M), the program must be converted through 2 conversions in order to calculate The category to which the cancer belongs. In order to carefully classify and store data, in another embodiment, it may also be tested manually when the program performs a conversion. After confirmation by manual means, if there is bad information, it will be removed or completed, and only the complete medical data can be stored in the database.

In the scalable cancer data collection system 100 of the present invention, the system program has an automatic detection function, and when the patient enters the hospital to register the data, the data is programmed. Detected. In addition, cancer is usually handled by different specialists. Therefore, when the program detects cancer data, it calculates the multi-specialty team of the cancer data through the built-in algorithm. It can be stored in the cancer database 80 according to the classification of the multi-disciplinary team.

It is worth mentioning that the scalable medical data collection system 1 requires a large cluster of multiple computers and a large amount of data to be processed in a parallel operation. In function programming, based on Map (key/value sequence pair group), the concept is similar to the various broken methods in the algorithm, that is, the problem is decomposed into many small problems and then summed. Finally, the system is The data vocabulary control table 13, the data interpretation reference table 14 and the logical control data table 15 control the results.

Hereinafter, the expandable cancer data collection system 100 of the present invention will describe in detail how to write each medical data 11 into the cancer database 80 in a specific embodiment and schema.

A female patient was referred to the hospital for treatment of the tumor outside the right breast. After a series of examinations, she was confirmed as the first stage breast cancer patient. The doctor gave the ICD-9 diagnosis code of 174.9 in the clinic. The vocabulary code category information of various international medical disease standards (ICD-9, ICD-9-CM, ICD-10, ICD-O3T, ICD-O3M, LONIC, SNOMED, etc.) has been established in the data coding classification table 12 of the present invention. As shown in Fig. 5, the scalable cancer data collection system 100 of the present invention determines whether the diagnostic code of the data is a cancer diagnosis code. The scalable cancer data collection system 100 then compares whether the medical data is available in the cancer database 80. In the absence of the medical data 11, the scalable cancer data collection system 100 enters the patient sub-specialty and data quality management process. At this time, ICD9 is presented on the data coding classification table 12. The diagnostic code is 174.4, the ICD-O3T diagnostic code is C50.4, the ICD-O3M diagnostic code is M8500/3, and the multi-specialty is BREAST (as shown in Figure 6).

If a physician or investigator wishes to study the relationship between the breast cancer IHC4 Score breast cancer recurrence risk assessment index and related variables, the independent variable (X_i), the dependent variable (Y_i), and the function F(X_i) can be defined, where X_1 is the estrus hormone receptor. Body (ER%), X_2 is a progesterone receptor (PR%), X_3 is a human epidermal growth factor receptor (Her2), X_4 is a cell proliferation index (Ki67%), and Y_1 is a breast cancer recurrence risk assessment index (IHC4 Score). , function F (IHC4 Score) = 94.7 x [-0.100 ER10-0.079 PgR10 + 0.586 Her2+0.240 ln (1 + 10 x Ki67)].

In order to collect data according to the researcher's research project, in the data vocabulary control table 13, for the numerical type of the disease, the numerical unit, the number of numerical values, the numerical value of the reference value, the data importance, the category control, the data interpretation Refer to the table association and other data to make the settings in advance (as shown in Figure 7 and Figure 8); in order to interpret the attributes of the data and maintain the consistency and standardization of the data quality, the data of the interpretation of the medical vocabulary is established in the data interpretation reference table 14. (As shown in Figure 9); Logical Control Data Table 15 specifies the master-slave relationship between vocabulary and vocabulary, setting IHC4 as the main level, ER, PR, HER2, and Ki67% as the secondary level (as shown in Figure 10). After the final confirmation of the patient's data, the medical data 11 can be stored in the cancer database 80 according to the patient's grouping; finally, the medical data is executed according to different patient and disease classification information. The wide search method is performed, and the data vocabulary is written into the cancer database 80 (as shown in Fig. 11).

12 is a schematic diagram of a medical data reading module according to an embodiment of the present invention. Referring to FIG. 12, the medical data reading module 90 of the present invention includes a database reading. The analysis module 30 and the medical data writing module 40 are provided. The database read analysis module 30 includes a data code classification table 12, a data vocabulary control table 13, a data interpretation reference table 14 and a logic control data table 15, and the database read analysis module 30 is adapted to be used in the database. Data for analysis and classification. The medical data write module 40 reads the classified data of the analysis module 30 according to the database, and outputs the required at least one medical data 11 from the database 50 to a destination data 60. When a researcher or a doctor wants to retrieve data from the database 50 generated by the extensible medical data collection system 1 of the present invention, the analysis module 30 and the medical data writing module 40 must be combined with the database. To output the data to the destination data 60.

The destination data 60 can be a general format file (for example, PDF, Word, JPG, etc.) or a stylized format file. When the destination data 60 is a markup language (JSON or XML, etc.) file, the execution medical data writing module 40 captures the database 50 and combines the data vocabulary control table 13, the data interpretation reference table 14 and the logic control data table 15 to The output node outputs the distributed data to a specified location in the destination data 60. The execution instruction can set the data obtained by the dispatch to the parameter node of the instruction node, and then execute the instruction. Dispatch is done in a variety of ways. Repeat this step until all parameter data has been processed. It is worth mentioning that the destination material 60 may be a document conforming to the CDA (Clinical Document Architecture) specification. CDA is a complete framework for providing complete grammar rules and all semantic specifications for clinical documents, which can include clinical data of any type. General CDA files can be discharged from hospitals, video reports, initial diagnosis records, pathology reports, etc. CDA can use full markup language technology (eg, XML) or non-complete markup language technology (eg, JSON) files.

Figure 13 is a specific embodiment of a medical data collection method according to the present invention, and Figure 14 is a specific embodiment of the medical data collection procedure according to the present invention, and Figure 15 is based on the present invention. A specific embodiment of the invention medical data reading program. Referring to Figures 13-15, in order to effectively classify and manage the medical data 11, the medical data collection method 200 of the present invention comprises: a medical data classification program 110, a medical data writing program 120, a database reading analysis program 130, and medical data writing. The program 140 is output. The medical data collection program 170 includes a medical data classification program 110 and a medical data writing program 120. The medical data reading program 190 includes a database reading analysis program 130 and a medical material writing program 140. The medical data classification program 110 classifies at least one medical data 11 through the data coding classification table 12, the data vocabulary control table 13, the data interpretation reference table 14, and the logical control data table 15, and the data coding classification table 12 has various international medical diseases. Standard vocabulary code category information, data vocabulary control table 13 has a variability of medical vocabulary classification, data interpretation reference table 14 has information for interpreting medical vocabulary, and logical control data table 15 specifies a master-slave relationship between vocabulary and vocabulary; medical data The writing program 120 is adapted to write at least one medical data into a database according to the medical data classification program 110; the database reading analysis program 130 has a data encoding classification table 12, a data vocabulary control table 13, a data interpretation reference table 14 and The logic control data table 15, the database read analysis program 130 is adapted to classify the data in the database; the medical data writing program 140 reads the classified data of the analysis program 130 according to the database, and uses at least one medical data required. 11 is output from the database 50 to a destination data 60.

The present invention further provides a cancer data collection method 300 (shown in FIG. 16), the method comprising a cancer data determination program 180 and the medical data collection method 200 described above, wherein the cancer data determination program 180 determines at least one medical data 11 Whether the diagnostic code is a cancer diagnosis code, if the diagnosis code is a cancer code and is a brand new medical data, the medical data collection method 200 of the present invention collects the medical data 11 according to the five stages of the medical data classification process 110 and stores it to Cancer database 80.

In the cancer data collection method 300 of the present invention, the medical data classification program 110 further includes a specific factor input program for writing the location and morphology of the cancer into the database. It is worth mentioning that the specific factor input program includes a single factor input function and a composite factor input function. The composite factor input function can first calculate the relationship between a plurality of factors, and then write the data to the database in a plurality of factors.

In summary, the scalable medical data collection system and method of the present invention have at least the following advantages: (1) data coding classification table 12 by medical material classification module 10, data vocabulary control table 13, data interpretation Referring to Table 14 and the Logical Control Data Table 15, at least one medical data 11 can be classified, so that it is difficult to deal with the demand for highly variable medical vocabulary input and conversion into a research clinical database; (2) by setting Various international standard vocabulary code category information (such as ICD-9, ICD-9-CM, ICD-10, ICD-O3T, ICD-O3M, LONIC, SNOMED, etc.) in the data coding classification table 12, the existing medical treatment can be The database is transformed into a clinical research data database with medical vocabulary code consistency and fieldization; (3) a multi-specialty, cancer-specific factor, and classification of different cancer locations and morphologies for cancer, stored in a database to establish Complete and scalable cancer database; (4) Combine standard clinical workflows to ensure complete and correct cancer research data registration, providing reliable pre-treatment clinical parameters Treatment of toxic side effects and complications of the record, after the treatment of tumor response, recurrence patterns, patient quality of life and survival outcome, and thus as a basis for subsequent multivariate causal analysis of cancer research.

Those skilled in the art will appreciate that the foregoing specific embodiments may be modified without departing from the broad inventive concepts. Therefore, it is intended that the invention not be limited the

1‧‧‧Scalable medical data collection system

10‧‧‧ Medical Information Classification Module

11‧‧‧ At least one medical information

20‧‧‧ medical data writing module

30‧‧‧Database Read Analysis Module

40‧‧‧ Medical data writing module

50‧‧‧Database

60‧‧‧Information

Claims (16)

A hospital medical data collection system with expandability includes: a patient medical data classification module adapted to perform medical specialty classification on at least one patient medical data, having a data coding classification table, a data vocabulary control table, a data interpretation reference table and a logic control data table having vocabulary code category information of various international medical disease standards for presenting a diagnostic code of the patient medical data, the data vocabulary control table having a variable medical vocabulary Classification, the data interpretation reference table has information for interpreting the medical vocabulary, the logical control data table specifies the master-slave relationship between the vocabulary and the vocabulary; a patient medical data writing module will be processed by the patient medical data classification module The at least one patient medical data is written into a database; a database reading analysis module having the data encoding classification table, the data vocabulary control table, the data interpretation reference table, and the logic control data table, the database Reading the analysis module to enter the at least one patient medical data in the database Classification; and medical information write a module to read classified in accordance with the data analysis module of the database, the sum of the output data to a patient's medical information required for the purpose of at least from the database. The hospital medical data collection system of the hospital as described in claim 1, wherein the medical data classification module further comprises a specific factor classification table, and has specific factor information of each disease. Patients in hospitals with expandability as described in item 1 of the patent application A medical data collection system in which the patient medical data collection system in the hospital is applicable to a network communication system. The hospital medical data collection system of the hospital as described in claim 3, wherein the network communication system is an internet, a corporate network or an inter-enterprise network. The hospital medical data collection system of the hospital as described in claim 1 wherein the medical data writing module further comprises a data connection module for external data of at least one patient medical data. Link to this database. The hospital medical data collection system in a hospital as described in claim 1 of the patent application, wherein the purpose data is a markup language file. The hospital medical data collection system of the hospital as described in claim 1 of the patent application, wherein the purpose data is a document conforming to the CDA (Clinical Document Architecture) specification. The invention discloses a patient cancer data collection system in a hospital, comprising: a cancer data judgment module, and a cancer representative code having various international medical disease standards, wherein the cancer data judgment module determines whether the diagnostic code of at least one patient medical data is A cancer representative code; and the hospital medical data collection system of the expandable hospital according to any one of claims 1 to 7. A method for collecting medical data of a patient in a hospital is used in a hospitalized medical data collection system for a patient, the method comprising: A medical data classification program classifies at least one patient medical data by means of a data coding classification table, a data vocabulary control table, a data interpretation reference table and a logical control data table, the data coding classification table having various international medical treatments The vocabulary code category information of the disease standard to present a diagnostic code of the patient's medical data, the data vocabulary control table having a variability of medical vocabulary classification, the data interpretation reference table having an interpretation of the medical vocabulary, the logical control data table specifying vocabulary a master-slave relationship with the vocabulary; a medical data writing program adapted to write the at least one patient medical data processed by the medical data classification program into a database; a database reading analysis program having The data encoding classification table, the data vocabulary control table, the data interpretation reference table, and the logic control data table, the database reading analysis program classifying the at least one patient medical data in the database; and a medical data Write a program to read the classified data of the analysis program according to the database. At least the sum of patient medical information required for the output from the database to a data purposes. The method for collecting medical data of a patient in a hospital according to claim 9 , wherein the medical data writing program further comprises a data linking program, and the external data of the at least one patient medical data can be linked to the database. The method for collecting medical data of a patient in a hospital according to claim 9 of the patent application, wherein the method for collecting medical data of the patient in the hospital is applicable to an internet, a corporate network or an inter-enterprise network. The method for collecting medical data of a patient in a hospital according to claim 9 of the patent application, wherein the target data is a markup language file. The method for collecting medical data of a patient in a hospital according to claim 9 of the patent application scope, wherein the target data is a document conforming to the CDA (Clinical Document Architecture) specification. A method for collecting cancer data of a patient in a hospital is for use in a scalable cancer data collection system, the method comprising: a cancer data determination program for determining whether the diagnostic code of at least one patient medical data is a cancer representative code; A method for collecting medical data of a patient in a hospital according to any one of the items 9 to 13 of the patent application. For example, in the method for collecting cancer data of a patient in a hospital according to claim 14, wherein the medical data classification program further includes a specific factor input program, and the location and morphology of the cancer can be written into the database. The method for collecting cancer data of a patient in a hospital according to claim 15 , wherein the specific factor input program comprises a single factor input function and a composite factor input function, and the composite factor input function can first calculate a plurality of factors The relationship is then written to the database in multiple factors.